Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training Data Catalog 2026 - Expert MLOps Governance
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master professional data catalogs for ML data governance
- Develop expert skills in MLOps integration with TensorFlow and PyTorch
- Design scalable data catalog architectures tailored to enterprises
- Deploy certified solutions for data traceability and quality
- Optimize continuous training processes in data catalogs for technical teams
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Companies that fail to master data catalogs in 2026 lose up to 35% productivity on their ML projects.
Recent studies show that 62% of MLOps initiatives fail due to faulty data governance.
Professionals without these skills see their employability stagnate against the competition.
Not investing in this training exposes your career and your organization to costly strategic delays.
Program
Module 1Theme: Data catalog 2026 and MLOps foundations (TensorFlow, metadata, use cases)
Participants explore modern data catalog architectures in a 2026 MLOps context. They deploy automated metadata with TensorFlow, perform practical exercises on dataset traceability, and produce an initial data catalog inventory deliverable integrated into existing pipelines.
Module 2Theme: Advanced Data catalog 2026 with PyTorch and real-time governance
Training on expert data catalog features coupled with PyTorch for model versioning. Learners configure automatic validation workflows, analyze concrete company cases, and deliver real-time governance applied to critical datasets.
Module 3Theme: Data catalog 2026 and MLOps automation (integration, monitoring)
Professionals implement automated data catalogs in complete MLOps environments. They use advanced monitoring tools, perform anomaly detection exercises, and produce a dashboard deliverable certifying ML data quality.
Module 4Theme: Data catalog 2026 in production and continuous optimization
Participants finalize their project by optimizing a 2026 data catalog for production. They integrate MLOps best practices, conduct collaborative code reviews, and deliver a complete deployable enterprise data catalog governance solution.
Evaluation method
- Daily knowledge validation quizzes
- Final MLOps data catalog project evaluated by peers
- Skills certificate awarded at the end of the training
Learning method
- Intensive practical workshops on TensorFlow and PyTorch
- Real-world company case studies
- Personalized feedback on deliverables
- Access to resources and templates post-training
Methods, materials and delivery
The Training Data Catalog 2026 - Expert MLOps Governance program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Data Catalog 2026 - Expert MLOps Governance program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Data Catalog 2026 - Expert MLOps Governance program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Data Catalog 2026 - Expert MLOps Governance training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Data Catalog 2026 - Expert MLOps Governance training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced mastery of Python, experience in production with TensorFlow or PyTorch models, and solid knowledge of MLOps pipelines.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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